Softwr

Cybersecurity · head to head

Passbolt vs PyTorch

Passbolt logo

Passbolt

Cybersecurity

Open-source password manager for teams with self-hosted or cloud deployment

From
Free
Rated
-
Full reviewWebsite
PyTorch logo

PyTorch

Machine Learning

Deep learning framework with dynamic computation graphs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Passbolt pro Edition requires a minimum of 10 users, making it costlier for very small teams.; PyTorch dynamic computation graph can be less efficient for production inference than static graphs
  • They diverge on capability: Passbolt covers Password sharing and folders, PyTorch covers Dynamic computation graphs.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Passbolt and PyTorch actually diverge.

Attributes where Passbolt and PyTorch differ
AttributePassboltPyTorch
Pricing modelopen-sourceUnknown
Platformsweb, windows, mac, linux, apiLinux, Windows, macOS
CategoryCybersecurityMachine Learning
FoundedUnknown2016

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Passbolt

  • Password sharing and folders
  • Groups and role-based access
  • Browser extensions and CLI
  • Open API
  • LDAP provisioning and SSO
  • Activity audit log

Only in PyTorch

  • Dynamic computation graphs
  • Automatic differentiation
  • GPU acceleration
  • Distributed training
  • TorchScript
  • TorchVision
  • TorchText
  • TorchAudio

What people use each for

The jobs each tool is most often brought in to do.

Passbolt

  • Self-hosting a team password manager for data sovereigntynot PyTorch
  • Provisioning vault access from an existing LDAP/AD directorynot PyTorch
  • Sharing credentials across engineering or IT teams via folders and groupsnot PyTorch
  • Automating credential retrieval through the CLI or open APInot PyTorch

PyTorch

  • Machine learningnot Passbolt
  • Data analysisnot Passbolt
  • Model trainingnot Passbolt
  • Predictive analyticsnot Passbolt

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Passbolt

  • Pro Edition requires a minimum of 10 users, making it costlier for very small teams.
  • Community Edition lacks SSO and LDAP provisioning, which many organizations need for onboarding at scale.
  • Self-hosting the Community Edition requires infrastructure and maintenance effort compared to fully managed competitors.
  • Enterprise-tier support and HA consulting require custom, quote-based pricing rather than transparent rates.

PyTorch

  • Dynamic computation graph can be less efficient for production inference than static graphs
  • Requires more manual code for distributed training compared to some alternatives
  • Documentation focused heavily on research use cases rather than production deployment

Pricing, plan by plan

Passbolt

Free
  • Community EditionFree
    • Unlimited users
    • Password sharing and folders
    • Role-based access control
  • Pro Edition$4.9/month
    • Minimum 10 users, billed annually
    • LDAP/AD provisioning
    • Single sign-on
  • Enterprise Edition$undefined/month
    • High availability and disaster recovery consulting
    • White-glove migration
    • Custom feature development

PyTorch

Free

No published plan breakdown. See the PyTorch review.

Which should you pick?

Choose Passbolt if

  • You need password sharing and folders.
  • You want to start without paying.
  • You work on web, windows, mac, linux, api.
  • You also want groups and role-based access.
Passbolt review

Choose PyTorch if

  • You need dynamic computation graphs.
  • You want to start without paying.
  • You work on Linux, Windows, macOS.
  • You also want automatic differentiation.
PyTorch review

Questions people ask

Is Passbolt or PyTorch better?
Neither clearly leads. Passbolt starts at Free and PyTorch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Passbolt or PyTorch?
Passbolt starts at Free and PyTorch at Free.
Does Passbolt or PyTorch run on more platforms?
Passbolt runs on web, windows, mac, linux, api. PyTorch runs on Linux, Windows, macOS.
Can I use Passbolt for free?
Both have a free tier, so you can try either at no cost before committing.
What is Passbolt best used for?
Passbolt is most often used for self-hosting a team password manager for data sovereignty, provisioning vault access from an existing ldap/ad directory, sharing credentials across engineering or it teams via folders and groups, automating credential retrieval through the cli or open api. Of those, self-hosting a team password manager for data sovereignty and provisioning vault access from an existing ldap/ad directory are not what PyTorch is typically brought in for.
What can Passbolt do that PyTorch cannot?
Passbolt covers Password sharing and folders, Groups and role-based access, Browser extensions and CLI, Open API. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training.

Answered from the vendors’ own pages

Passbolt: Is Passbolt free to use?

Yes. The Community Edition is free forever with unlimited users, including password sharing, folders, groups, role-based access, browser extensions, a CLI, and an open API.

Source
PyTorch: Is PyTorch free and open source?

Yes. PyTorch is an open source machine learning framework that is completely free to use. It was originally created and open-sourced by Facebook (now Meta) in 2016.

Source
Passbolt: What does the Pro Edition cost and add?

Pro Edition costs $4.90 per user per month billed annually, with a 10-user minimum, and adds LDAP/AD provisioning, single sign-on, account recovery escrow, activity audit logs, and next-business-day support.

Source
PyTorch: What platforms does PyTorch support?

PyTorch supports Linux, Windows, and macOS. It provides strong GPU acceleration through CUDA and other backends for high-performance computing.

Source
Passbolt: What license is Passbolt distributed under?

All Passbolt editions, including Pro and Enterprise, are distributed under the AGPL v3 open-source license.

Source
PyTorch: Can I use PyTorch for production deployments?

Yes. PyTorch provides graph-based execution, distributed training, mobile deployment, and quantization features to support production deployments.

Source
Share

Related pages

More on Passbolt

More on PyTorch

Keep looking

Other head to heads